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PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate
  bounds that handle general VC classes

PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate bounds that handle general VC classes

17 June 2021
Peter Grünwald
Thomas Steinke
Lydia Zakynthinou
ArXivPDFHTML

Papers citing "PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate bounds that handle general VC classes"

26 / 26 papers shown
Title
Generalization Bounds via Conditional $f$-Information
Generalization Bounds via Conditional fff-Information
Ziqiao Wang
Yongyi Mao
FedML
40
1
0
30 Oct 2024
Information Complexity of Stochastic Convex Optimization: Applications
  to Generalization and Memorization
Information Complexity of Stochastic Convex Optimization: Applications to Generalization and Memorization
Idan Attias
Gintare Karolina Dziugaite
Mahdi Haghifam
Roi Livni
Daniel M. Roy
25
6
0
14 Feb 2024
A PAC-Bayesian Link Between Generalisation and Flat Minima
A PAC-Bayesian Link Between Generalisation and Flat Minima
Maxime Haddouche
Paul Viallard
Umut Simsekli
Benjamin Guedj
35
3
0
13 Feb 2024
Minimum Description Length and Generalization Guarantees for
  Representation Learning
Minimum Description Length and Generalization Guarantees for Representation Learning
Milad Sefidgaran
Abdellatif Zaidi
Piotr Krasnowski
38
7
0
05 Feb 2024
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications
Huayi Tang
Yong Liu
55
1
0
08 Nov 2023
Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic
  Generalization Bounds
Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds
Ziqiao Wang
Yongyi Mao
22
5
0
31 Oct 2023
An Introduction to the Calibration of Computer Models
An Introduction to the Calibration of Computer Models
Richard D. Wilkinson
Christopher W. Lanyon
24
0
0
13 Oct 2023
Importance-Weighted Offline Learning Done Right
Importance-Weighted Offline Learning Done Right
Germano Gabbianelli
Gergely Neu
Matteo Papini
OffRL
14
5
0
27 Sep 2023
Local Risk Bounds for Statistical Aggregation
Local Risk Bounds for Statistical Aggregation
Jaouad Mourtada
Tomas Vavskevivcius
Nikita Zhivotovskiy
20
1
0
29 Jun 2023
More PAC-Bayes bounds: From bounded losses, to losses with general tail
  behaviors, to anytime validity
More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime validity
Borja Rodríguez Gálvez
Ragnar Thobaben
Mikael Skoglund
26
9
0
21 Jun 2023
Online-to-PAC Conversions: Generalization Bounds via Regret Analysis
Online-to-PAC Conversions: Generalization Bounds via Regret Analysis
Gábor Lugosi
Gergely Neu
20
11
0
31 May 2023
Exponential Stochastic Inequality
Exponential Stochastic Inequality
Peter Grünwald
M. F. Pérez-Ortiz
Zakaria Mhammedi
21
1
0
27 Apr 2023
Lower Generalization Bounds for GD and SGD in Smooth Stochastic Convex
  Optimization
Lower Generalization Bounds for GD and SGD in Smooth Stochastic Convex Optimization
Peiyuan Zhang
Jiaye Teng
J. Zhang
34
4
0
19 Mar 2023
Tighter Information-Theoretic Generalization Bounds from Supersamples
Tighter Information-Theoretic Generalization Bounds from Supersamples
Ziqiao Wang
Yongyi Mao
19
17
0
05 Feb 2023
Limitations of Information-Theoretic Generalization Bounds for Gradient
  Descent Methods in Stochastic Convex Optimization
Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization
Mahdi Haghifam
Borja Rodríguez Gálvez
Ragnar Thobaben
Mikael Skoglund
Daniel M. Roy
Gintare Karolina Dziugaite
22
17
0
27 Dec 2022
Two Facets of SDE Under an Information-Theoretic Lens: Generalization of
  SGD via Training Trajectories and via Terminal States
Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States
Ziqiao Wang
Yongyi Mao
10
10
0
19 Nov 2022
Streaming PAC-Bayes Gaussian process regression with a performance
  guarantee for online decision making
Streaming PAC-Bayes Gaussian process regression with a performance guarantee for online decision making
Tianyu Liu
Jie Lu
Zheng Yan
Guangquan Zhang
36
0
0
16 Oct 2022
A New Family of Generalization Bounds Using Samplewise Evaluated CMI
A New Family of Generalization Bounds Using Samplewise Evaluated CMI
Fredrik Hellström
G. Durisi
30
22
0
12 Oct 2022
Variational Inference of overparameterized Bayesian Neural Networks: a
  theoretical and empirical study
Variational Inference of overparameterized Bayesian Neural Networks: a theoretical and empirical study
Tom Huix
Szymon Majewski
Alain Durmus
Eric Moulines
Anna Korba
BDL
13
6
0
08 Jul 2022
Fast Rate Generalization Error Bounds: Variations on a Theme
Fast Rate Generalization Error Bounds: Variations on a Theme
Xuetong Wu
J. Manton
U. Aickelin
Jingge Zhu
22
7
0
06 May 2022
Single Trajectory Nonparametric Learning of Nonlinear Dynamics
Single Trajectory Nonparametric Learning of Nonlinear Dynamics
Ingvar M. Ziemann
H. Sandberg
Nikolai Matni
16
22
0
16 Feb 2022
Minimax risk classifiers with 0-1 loss
Minimax risk classifiers with 0-1 loss
Santiago Mazuelas
Mauricio Romero
Peter Grünwald
19
6
0
17 Jan 2022
Stability Based Generalization Bounds for Exponential Family Langevin
  Dynamics
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics
A. Banerjee
Tiancong Chen
Xinyan Li
Yingxue Zhou
13
8
0
09 Jan 2022
Information-Theoretic Bayes Risk Lower Bounds for Realizable Models
Information-Theoretic Bayes Risk Lower Bounds for Realizable Models
M. Nokleby
Ahmad Beirami
55
1
0
08 Nov 2021
User-friendly introduction to PAC-Bayes bounds
User-friendly introduction to PAC-Bayes bounds
Pierre Alquier
FedML
34
196
0
21 Oct 2021
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent
  Estimates
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates
Jeffrey Negrea
Mahdi Haghifam
Gintare Karolina Dziugaite
Ashish Khisti
Daniel M. Roy
FedML
105
146
0
06 Nov 2019
1